Identification and Quantification of Jaundice by Trans-Conjunctiva Optical Imaging Using a Human Brain-like Algorithm: A Cross-Sectional Study

Author:

Kihara Takuya1,Sugihara Takaaki1ORCID,Ikeda Suguru1,Matsuki Yukako1,Koda Hiroki1ORCID,Onoyama Takumi1,Takata Tomoaki1ORCID,Nagahara Takakazu1,Isomoto Hajime1

Affiliation:

1. Division of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Yonago 683-8504, Japan

Abstract

Jaundice is caused by excess circulating bilirubin, known as hyperbilirubinemia. This symptom is sometimes caused by a critical hepatobiliary disorder, and is generally identified as yellowish sclera when bilirubin levels increase more than 3 mg/dL. It is difficult to identify jaundice accurately, especially via telemedicine. This study aimed to identify and quantify jaundice by trans-conjunctiva optical imaging. Patients with jaundice (total bilirubin ≥ 3 mg/dL) and normal control subjects (total bilirubin < 3 mg/dL) were prospectively enrolled from June 2021 to July 2022. We took bilateral conjunctiva imaging with a built-in camera on a smartphone (1st generation iPhone SE) under normal white light conditions without any restrictions. We processed the images using an Algorithm Based on Human Brain (ABHB) (Zeta Bridge Corporation, Tokyo, Japan) and converted them into a hue degree of Hue Saturation Lightness (HSL) color space. A total of 26 patients with jaundice (9.57 ± 7.11 mg/dL) and 25 control subjects (0.77 ± 0.35 mg/dL) were enrolled in this study. The causes of jaundice among the 18 male and 8 female subjects (median age 61 yrs.) included hepatobiliary cancer (n = 10), chronic hepatitis or cirrhosis (n = 6), pancreatic cancer (n = 4), acute liver failure (n = 2), cholelithiasis or cholangitis (n = 2), acute pancreatitis (n = 1), and Gilbert’s syndrome (n = 1). The maximum hue degree (MHD) optimal cutoff to identify jaundice was 40.8 (sensitivity 81% and specificity 80%), and the AUROC was 0.842. The MHD was moderately correlated to total serum bilirubin (TSB) levels (rS = 0.528, p < 0.001). TSB level (≥5 mg/dL) can be estimated by the formula 21.1603 − 0.7371 × 56.3−MHD2. In conclusion, the ABHB-based MHD of conjunctiva imaging identified jaundice using an ordinary smartphone without any specific attachments and deep learning. This novel technology could be a helpful diagnostic tool in telemedicine or self-medication.

Publisher

MDPI AG

Subject

Clinical Biochemistry

Reference25 articles.

1. Jaundice in the Intensive Care Unit;Bansal;Surg. Clin. N. Am.,2006

2. The Epidemiology of Neonatal Jaundice;Hansen;Pediatr. Med.,2021

3. Jaundice in Adult In-Patients at a Tertiary General Hospital;Hung;J. Biosci. Med.,2015

4. Evaluation of the Physician’s Ability to Recognize the Presence or Absence of Anemia, Fever, and Jaundice;Hung;Acad. Emerg. Med.,2000

5. Accuracy of the BilicareTM Transcutaneous Bilirubinometer as the Predischarge Screening Tool for Significant Hyperbilirubinemia in Healthy Term and Late Preterm Neonates;Chokemungmeepisarn;J. Matern. Fetal Neonatal Med.,2020

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